Figure 2.
Distribution of probabilities predicted by our model for the test data set. Each histogram is normalized by the total amount of objects of a given type. The vertical line marks the probability threshold below which most of objects are actually non-clusters. We use this threshold in Section 3.2 to distinguish between non-clusters and cluster candidates.

Distribution of probabilities predicted by our model for the test data set. Each histogram is normalized by the total amount of objects of a given type. The vertical line marks the probability threshold below which most of objects are actually non-clusters. We use this threshold in Section 3.2 to distinguish between non-clusters and cluster candidates.

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